• Fundamentals of Data Analytics
• Types of Data and Data Sources
• Descriptive and Inferential Statistics
• Probability Theory and Distributions
• Hypothesis Testing and Confidence Intervals
• Sampling Techniques
• Data Collection and Experimental Design

• Data Cleaning and Preprocessing
• Handling Missing Values
• Data Transformation and Standardization
• Outlier Detection and Treatment
• Data Merging and Reshaping
• Feature Engineering Techniques
• Data Quality Assessment

• Introduction to Python for Data Analytics
• Data Manipulation with Pandas
• Data Analysis using NumPy and SciPy
• Data Visualization with Matplotlib and Seaborn
• Introduction to R and Data Manipulation with dplyr
• Statistical Analysis in R
• Exploratory Data Analysis in Python and R

• Basics of Relational Databases
• Writing Queries in SQL
• Data Aggregation and Filtering
• Joins and Subqueries
• Advanced SQL Functions
• Integrating SQL with Python/R
• Working with Large Datasets

• Data Storytelling Principles
• Creating Interactive Dashboards
• Data Visualization in Tableau
• Data Visualization in Power BI
• Effective Chart Selection and Design
• Advanced Visualizations and Filters
• Dashboard Design Best Practices

• Introduction to Machine Learning Concepts
• Supervised vs. Unsupervised Learning
• Data Preprocessing for Machine Learning
• Regression Analysis (Linear and Logistic)
• Clustering Techniques (K-Means, Hierarchical)
• Decision Trees and Random Forests

Model Evaluation and Cross-Validation

• Introduction to Big Data and Its Applications
• Basics of Hadoop Architecture
• Working with HDFS (Hadoop Distributed File System)
• Introduction to Apache Spark
• Data Processing with Spark SQL
• Spark MLlib for Machine Learning
• Integration of Big Data Tools with Python

• Project Planning and Data Collection
• Data Wrangling and Cleaning of Real-World Datasets
• Exploratory Data Analysis and Visualization
• Predictive Modeling and Machine Learning Application
• Dashboard and Report Creation
• Presentation and Peer Review of Project
• Feedback and Final Revisions